2 citations · 3 across the 8 of their papers we have counts for
8 papers · 1 filter
CouCE: A Unified Causal Framework for Debiased Deep Metric Learning
Xin Yuan, Zhenyang Niu, Meiqi Wan +3
Deep Metric Learning (DML) often struggles with zero-shot generalization because standard objectives inherently capture what co-occurs rather than what causes similarity. Consequen…
FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts
Xin Xu, Weilong Li, Wei Liu +5
Federated Domain Generalization for Person Re-Identification (FedDG-ReID) learns domain-invariant representations from decentralized data. While Vision Transformer (ViT) is widely…
FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification
Xin Xu, Binchang Ma, Zhixi Yu +1
The application of federated domain generalization in person re-identification (FedDG-ReID) aims to enhance the model's generalization ability in unseen domains while protecting cl…
Beyond Seen Bounds: Class-Centric Polarization for Single-Domain Generalized Deep Metric Learning
Xin Yuan, Meiqi Wan, Wei Liu +2
Single-domain generalized deep metric learning (SDG-DML) faces the dual challenge of both category and domain shifts during testing, limiting real-world applications. Therefore, ai…
Event-based Video Person Re-identification via Cross-Modality and Temporal Collaboration
Renkai Li, Xin Yuan, Wei Liu +1
Video-based person re-identification (ReID) has become increasingly important due to its applications in video surveillance applications. By employing events in video-based person…
VAGeo: View-specific Attention for Cross-View Object Geo-Localization
Zhongyang Li, Xin Yuan, Wei Liu +1
Cross-view object geo-localization (CVOGL) aims to locate an object of interest in a captured ground- or drone-view image within the satellite image. However, existing works treat…
Mix-Modality Person Re-Identification: A New and Practical Paradigm
Wei Liu, Xin Xu, Hua Chang +2
Current visible-infrared cross-modality person re-identification research has only focused on exploring the bi-modality mutual retrieval paradigm, and we propose a new and more pra…
Towards Generalizable Person Re-identification with a Bi-stream Generative Model
Xin Xu, Wei Liu, Zheng Wang +2
Generalizable person re-identification (re-ID) has attracted growing attention due to its powerful adaptation capability in the unseen data domain. However, existing solutions ofte…